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Terraform VS Apple Core ML

Compare Terraform VS Apple Core ML and see what are their differences

Flagsmith
Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source. featured
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Terraform logo Terraform

Tool for building, changing, and versioning infrastructure safely and efficiently.

Apple Core ML logo Apple Core ML

Integrate a broad variety of ML model types into your app
  • Terraform Landing page
    Landing page //
    2023-09-24
  • Apple Core ML Landing page
    Landing page //
    2023-06-13

Terraform videos

+ Add

Wampler Terraform | Reverb Tone Report Demo

More videos:

  • Review - MOD PEDAL POWERHOUSE! Wampler TERRAFORM
  • Demo - IT'S FINALLY HERE! | Wampler Terraform Demo | It's as good as you hoped!!!

Apple Core ML videos

+ Add

IBM Watson & Apple Core ML Collaboration - What it means for app development

Category Popularity

0-100% (relative to Terraform and Apple Core ML)

Terraform

Apple Core ML

DevOps Tools
100 100%
DevOps Tools
0% 0
Developer Tools
81 81%
Developer Tools
19% 19
AI
0 0%
AI
100% 100
Continuous Integration And Delivery
100 100%
Continuous Integration And Delivery
0% 0

User comments

Share your experience with using Terraform and Apple Core ML. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Terraform and Apple Core ML

Terraform Reviews

Do not use AWS CloudFormation
Terraform, on the other hand, will occupy your shell until the directly-involved AWS service coughs up an error. No additional tooling is required. Terraform will just relay the error message from the affected service indicating what you’ve done wrong.
Source: gswallow.medium.com
Top 5 Ansible Alternatives in 2022: Server Automation Solutions by Alexander Fashakin on the 19th Aug 2021 facebook Linked In Twitter
Although Terraform and Ansible are both server automation tools, there are still a few significant differences between the two. For example, Terraform is declarative while Ansible allows for both procedural configurations and declarative configurations. Also, Ansible works best as a configuration management tool while Terraform leans towards cloud orchestration.
Source: www.servertribe.com
35+ Of The Best CI/CD Tools: Organized By Category
Terraform is compatible with a wide range of Cloud providers, including Azure, VMWare, and AWS. If you’re subscribed to multiple cloud providers, Terraform is a great way to ensure that they have consistent configurations.
Source: www.cloudzero.com
Why we use Terraform and not Chef, Puppet, Ansible, SaltStack, or CloudFormation
Example: Terraform and Ansible. You use Terraform to deploy all the underlying infrastructure, including the network topology (i.e., VPCs, subnets, route tables), data stores (e.g., MySQL, Redis), load balancers, and servers. You then use Ansible to deploy your apps on top of those servers.This is an easy approach to start with, as there is no extra infrastructure to run...
Source: blog.gruntwork.io
Ansible overtakes Chef and Puppet as the top cloud configuration management tool
Breaking these results down year-over-year, use of Ansible grew from 36% in 2018 to 41% in 2019--surpassing Chef, which grew from 36% to 37%, as well as Puppet, which grew from 34% to 37%. Rounding out the list is Terraform, which experienced a jump from 20% to 31%, and Salt, which increased in usage from 13% to 18%.
Source: www.techrepublic.com

Apple Core ML Reviews

We have no reviews of Apple Core ML yet.
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Social recommendations and mentions

Based on our record, Terraform should be more popular than Apple Core ML. It has been mentiond 31 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Terraform mentions (31)

  • Integrating Terraform with CI/CD Pipelines
    In recent years, there has been a significant shift towards automation of infrastructure deployment processes. One popular tool that has emerged as a key player in this space is Terraform, an open-source infrastructure as code (IaC) software tool developed by HashiCorp. This article will explore how Terraform can be integrated into continuous integration and delivery (CI/CD) pipelines using GitHub Actions as an... - Source: dev.to / 3 months ago
  • Deploying Your Outdoor Activities Map with Terraform
    Terraform is an open-source infrastructure-as-code software tool created by HashiCorp. It allows you to define and manage your infrastructure as code, making it easy to provision and manage resources across multiple cloud providers. With Terraform, you can ensure consistent and repeatable deployments, making it an ideal choice for automating your cloud infrastructure. - Source: dev.to / 10 months ago
  • Trigger CI using Terraform Cloud
    Continuous Integration(CI) pipelines needs a target infrastructure to which the CI artifacts are deployed. The deployments are handled by CI or we can leverage Continuous Deployment pipelines. Modern day architecture uses automation tools like terraform, ansible to provision the target infrastructure, this type of provisioning is called IaaC. - Source: dev.to / about 1 year ago
  • Using Let's Encrypt with the Puppet Enterprise console
    Had an itch I've been meaning to scratch for a while. I build my Puppet environment using Terraform, which makes it nice and easy to tear things down and rebuild them. That is great, but it does leave me with an issue when it comes to the console SSL certificates. - Source: dev.to / about 1 year ago
  • Would you give No Code tools a try, if you could export 100% of the code and let your devs take over?
    If you don't know what Terraform is, you can learn here https://terraform.io. Source: over 1 year ago
View more

Apple Core ML mentions (7)

  • Ask HN: Where is Apple? They seem to be left out of the AI race?
    On the machine learning side of AI, they have CoreML. You can drag-and-drop images into Xcode to train an image classifier. And run the models on device, so if solar flares destroy the cell phone network and terrorists bomb all the data centers, your phone could still tell you if it's a hot dog or not. https://developer.apple.com/machine-learning/ https://developer.apple.com/machine-learning/core-ml/... - Source: Hacker News / 4 months ago
  • The Magnitude of the AI Bubble
    Apple has actually created ML chipsets, so AI can be executed natively, on-device. https://developer.apple.com/machine-learning/. - Source: Hacker News / 6 months ago
  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Apple to occupy 90% of TSMC 3nm capacity in 2023
    > It’d be one thing if Apple actually worked on AI softwares a bit and made it readily available to developers. * Apple Silicon CPUs have a Neural Engine specifically made for fast ML-inference * Apple supports PyTorch (https://developer.apple.com/metal/pytorch/) * Apple has its own easily accessible machine-learning framework called Core-ML (https://developer.apple.com/machine-learning/) So it would be inaccurate... - Source: Hacker News / about 1 year ago
  • The iPhone 13 is a pitch-perfect iPhone 12S
    This is the developer documentation where they advertise the APIs - https://developer.apple.com/machine-learning/. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Terraform and Apple Core ML, you can also consider the following products

Rancher - Open Source Platform for Running a Private Container Service

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Puppet Enterprise - Get started with Puppet Enterprise, or upgrade or expand.

TensorFlow Lite - Low-latency inference of on-device ML models

Ansible - Radically simple configuration-management, application deployment, task-execution, and multi-node orchestration engine

Roboflow Universe - You no longer need to collect and label images or train a ML model to add computer vision to your project.

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